Samsung Galaxy S25 Ultra
Geekbench AI Score
470
Single Precision Score
26400
Half Precision Score
58326
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | gsidedgdb |
| Upload Date | July 10 2025 09:47 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S25 Ultra |
| Model ID | samsung SM-S938U |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
441
82.0 IPS |
|
|
Image Classification (HP)
|
100% |
21369
3.97 KIPS |
|
|
Image Classification (Q)
|
97% |
49283
9.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
562
9.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
13507
219.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
41542
675.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
550
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
122010
142.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
474218
555.0 IPS |
|
|
Object Detection (SP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (HP)
|
100% |
17953
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
20550
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
584
6.94 IPS |
|
|
Face Detection (HP)
|
100% |
38151
453.3 IPS |
|
|
Face Detection (Q)
|
97% |
121337
1.45 KIPS |
|
|
Depth Estimation (SP)
|
100% |
576
4.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
81238
625.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
136612
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
1022
1.31 IPS |
|
|
Style Transfer (HP)
|
98% |
98257
126.7 IPS |
|
|
Style Transfer (Q)
|
98% |
488214
629.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
246
9.09 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51351
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
123810
4.59 KIPS |
|
|
Text Classification (SP)
|
100% |
315
420.5 IPS |
|
|
Text Classification (HP)
|
100% |
3841
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
7833
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
634
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4331
74.6 IPS |
|
|
Machine Translation (Q)
|
56% |
2910
75.0 IPS |
